update model card README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: polibert-malaysia-ver4
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# polibert-malaysia-ver4
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3164
+- Accuracy: 0.9536
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.4227        | 1.0   | 1250  | 0.4466          | 0.914    |
+| 0.2549        | 2.0   | 2500  | 0.3277          | 0.9396   |
+| 0.1714        | 3.0   | 3750  | 0.3590          | 0.9424   |
+| 0.1298        | 4.0   | 5000  | 0.3354          | 0.946    |
+| 0.1002        | 5.0   | 6250  | 0.3634          | 0.9428   |
+| 0.0691        | 6.0   | 7500  | 0.3164          | 0.9536   |
+| 0.0845        | 7.0   | 8750  | 0.3469          | 0.9488   |
+| 0.0527        | 8.0   | 10000 | 0.3535          | 0.9488   |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.12.1